Modeling and Forecasting the Clean Energy Consumption in China

被引:0
|
作者
Zhao Linlin [1 ]
Wang Chengshan [2 ]
Huo Zhenyu [3 ]
机构
[1] China Univ Geosci, Sch Sci, Beijing 100083, Peoples R China
[2] China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
[3] China Wuzhou Engn Corp LTD, Design & Res Inst 2, Beijing 100053, Peoples R China
关键词
Clean energy consumption; GDP index; Co-integration; Causality test; Sparse coefficient model;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This article gave an exemplificative study about the Chinese clean energy demand based on the data since 1953. The co-integration model and the error correction model about the clean energy demand and the economy growth were established and their causality was discussed by Granger Causality test. To learn the inherent law of clean energy demand, the sparse coefficient model was built. These models all passed the statistical relevant tests and proved highly effective by simulating and forecasting comparing with the real values. The results of models can bring some references for the related people as the credible bases.
引用
收藏
页码:507 / 514
页数:8
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